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Leys, E. J.

Publications and source records attributed to Leys, E. J..

2 recordsLinked to original sources

Oral microbial dysbiosis linked to worsened periodontal condition in rheumatoid arthritis patients

Rheumatoid arthritis (RA) is an autoimmune disorder associated with increased periodontal destruction. It is thought that RA increases the risk of periodontal disease; it is not known how it influences the oral microbiota. Our aim was to analyze the impact of RA on subgingival microbiota and its association with periodontal inflammation and RA activity. Forty-two patients with RA were compared to 47 control subjects without RA. Patients were screened for probing depth, clinical attachment level, bleeding on probing and classified as with or without periodontitis. Subgingival plaque was examined by Illumina MiSeq Sequencing of 16S rRNA gene V4 region and inflammatory cytokines were measured in saliva. RA was associated to severe periodontal disease. In addition, the severity of RA, reflected by the number of tender and swollen joints, was significantly correlated with the presence of pathogenic oral bacteria (i.e. Fusobacterium nucleatum and Treponema socransky). Non-periodontitis RA patients compared to healthy controls had increased microbial diversity and bacterial load, higher levels of pathogenic species (Prevotella, Selenomonas, Anaeroglobus geminatus, Parvimonas micra, Aggregatibacter actinomycetemcomitans) and reduction of health-related species (Streptococcus, Rothia aeria, Kingela oralis). Genes involved with bacterial virulence (i.e. lipopolysaccharide biosynthesis, peptidases) were more prevalent in the subgingival metagenome of subjects with RA. In addition, the degree of oral inflammation reflected by IL-2, IL-6, TNF-, IFN-{gamma} salivary levels was increased in non-periodontitis RA patients in comparison with controls. Our findings support the hypothesis that RA triggers dysbiosis of subgingival microbiota, which may contribute to worsening periodontal status.\n\nAuthor SummaryRheumatoid arthritis (RA) is an autoimmune disease characterized by joints inflammation, swelling, pain and stiffness. Exactly what starts this disease is still unclear. Some recent studies have suggested mucosal surfaces in the body, like those in the gums, could affect the disease process. It has been observed that people with RA have higher risk of periodontitis (a bacterial inflammatory disease of the gums), compared with the general population, and this may be the start of the autoimmune process. Also, periodontitis increases the severity of RA while interventions by treating periodontitis can improve the symptoms of RA. One of the possible mechanisms that link the higher prevalence of periodontitis in RA patients is the dysbiosis of the oral microbiota triggered by the chronic inflammation in RA. Increased levels of molecules of inflammation may affect the oral environment and change the type of bacteria that live there. Here, we examined RA patients and healthy subjects, screening their oral health and inflammatory markers. We collected their saliva and the dental plaque from the space between the teeth and the gum. We found that RA patients exhibited severe periodontitis, increased levels of inflammatory mediators on their saliva and distinct bacterial communities, with higher proportions of bacteria species linked to periodontal disease, even in patients without periodontitis. We also found that the presence of these bacteria species was linked to worse RA conditions. Our study provides new insights to understand the bi-directional mechanisms linking periodontal disease to the development of RA, showing that we need to pay attention to the oral cavity in patients with RA and refer people for dental evaluation. This practice might have a positive impact in the course of RA.

microbiology

High-resolution ISR amplicon sequencing reveals personalized oral microbiome

Background: Sequencing of the 16S rRNA gene has been the standard for studying the composition of microbial communities. While it allows identification of bacteria at the level of species, it does not usually provide sufficient information to resolve at the sub-species level. Species-level resolution is not adequate for studies of transmission or stability, or for exploring subspecies variation in disease association. Current approaches using whole metagenome shotgun sequencing require very high coverage that can be cost-prohibitive and computationally challenging for diverse communities. Thus there is a need for high-resolution, yet cost-effective, high-throughput methods for characterizing microbial communities.\n\nResults: Significant improvement in resolution for amplicon-based bacterial community analysis was achieved by combining amplicon sequencing of a high-diversity marker gene, the ribosomal operon ISR, with a probabilistic error modeling algorithm, DADA2. The resolving power of this new approach was compared to that of both standard and high-resolution 16S-based approaches using a set of longitudinal subgingival plaque samples. The ISR strategy achieved a 5.2-fold increase in community richness compared to reference-based 16S rRNA gene analysis, and showed 100% accuracy in predicting the correct source of a clinical sample. Individuals microbial communities were highly personalized, and although they exhibited some drift in membership and levels over time, that difference was always smaller than the differences between any two subjects, even after one year. The construction of an ISR database from publicly available genomic sequences allowed us to explore genomic variation within species, resulting in the identification of multiple variants of the ISR for most species.\n\nConclusions: The ISR approach resulted in significantly improved resolution of communities, and revealed a highly personalized, stable human oral microbiota. Multiple ISR types were observed for all species examined, demonstrating a high level of subspecies variation in the oral microbiota. The approach is high-throughput, high-resolution yet cost-effective, allowing subspecies-level community fingerprinting at a cost comparable to that of 16S rRNA gene amplicon sequencing. It will be useful for a range of applications that require high-resolution identification of organisms, including microbial tracking, community fingerprinting, and potentially for identification of virulence-associated strains.

microbiology